John Williamson

938 total citations · 1 hit paper
9 papers, 633 citations indexed

About

John Williamson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, John Williamson has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Human-Computer Interaction. Recurrent topics in John Williamson's work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). John Williamson is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). John Williamson collaborates with scholars based in South Korea, Kazakhstan and Austria. John Williamson's co-authors include Seong‐Whan Lee, Min-Ho Lee, Siamac Fazli, Oyeon Kwon, Young-Eun Lee, Dong-Ok Won, Roderick Murray‐Smith, Benjamin Blankertz, Guido Dornhege and Michael Schröder and has published in prestigious journals such as PLoS ONE, Neuroreport and Frontiers in Neuroscience.

In The Last Decade

John Williamson

9 papers receiving 618 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

2019 381 citations Min-Ho Lee, Oyeon Kwon et al. GigaScience profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Williamson South Korea	6	598	291	184	147	85	9	633
Karl McCreadie United Kingdom	11	537 0.9×	231 0.8×	142 0.8×	123 0.8×	103 1.2×	25	603
Hohyun Cho South Korea	13	797 1.3×	355 1.2×	184 1.0×	128 0.9×	89 1.0×	23	851
François Cabestaing France	6	600 1.0×	307 1.1×	126 0.7×	154 1.0×	91 1.1×	15	703
Soheil Borhani United States	9	655 1.1×	303 1.0×	147 0.8×	130 0.9×	67 0.8×	13	724
Víctor Martínez-Cagigal Spain	13	433 0.7×	173 0.6×	131 0.7×	101 0.7×	54 0.6×	29	481
Na Lu China	13	608 1.0×	294 1.0×	207 1.1×	135 0.9×	199 2.3×	14	703
Kavitha P. Thomas Singapore	16	662 1.1×	242 0.8×	113 0.6×	181 1.2×	180 2.1×	27	718
Natasha Padfield United Kingdom	6	412 0.7×	182 0.6×	101 0.5×	103 0.7×	85 1.0×	8	477
Moonyoung Kwon South Korea	12	506 0.8×	152 0.5×	101 0.5×	99 0.7×	56 0.7×	22	573

Countries citing papers authored by John Williamson

Since Specialization

Citations

This map shows the geographic impact of John Williamson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Williamson more than expected).

Fields of papers citing papers by John Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Williamson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Williamson. The network helps show where John Williamson may publish in the future.

Co-authorship network of co-authors of John Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of John Williamson. A scholar is included among the top collaborators of John Williamson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Williamson. John Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Lee, Min-Ho, Oyeon Kwon, Young-Eun Lee, et al.. (2019). EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy. GigaScience. 8(5). 381 indexed citations breakdown →

2.

Lee, Min-Ho, et al.. (2019). Robust detection of event-related potentials in a user-voluntary short-term imagery task. PLoS ONE. 14(12). e0226236–e0226236. 4 indexed citations

3.

Lee, Min-Ho, et al.. (2019). Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface. 1–3. 15 indexed citations

4.

Lee, Min-Ho, et al.. (2019). The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. 1–4. 2 indexed citations

5.

Lee, Min-Ho, et al.. (2018). Mental fatigue in central-field and peripheral-field steady-state visually evoked potential and its effects on event-related potential responses. Neuroreport. 29(15). 1301–1308. 13 indexed citations

6.

Lee, Min-Ho, John Williamson, Dong-Ok Won, Siamac Fazli, & Seong‐Whan Lee. (2018). A High Performance Spelling System based on EEG-EOG Signals With Visual Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(7). 1443–1459. 120 indexed citations

7.

Lee, Min-Ho, et al.. (2017). A Hierarchical Classification Strategy for Robust Detection of Passive/Active Mental State Using User-Voluntary Pitch Imagery Task. 51. 906–910. 1 indexed citations

8.

Kreilinger, Alex, et al.. (2012). Switching between Manual Control and Brain-Computer Interface Using Long Term and Short Term Quality Measures. Frontiers in Neuroscience. 5. 147–147. 23 indexed citations

9.

Blankertz, Benjamin, Guido Dornhege, Matthias Krauledat, et al.. (2006). The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell. Maynooth University ePrints and eTheses Archive (Maynooth University). 74 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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